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From Home Data Platform Engineer Jobs in Wisconsin

... Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen ... Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten.

Acquire data from primary or secondary data sources and maintain databases/data systems * Identify ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

WI Β· On-site

As a Data platform Engineering Tech Lead, you'll join a collaborative team dedicated to design and ... Diverse and welcoming work environment , where you'll collaborate & unwind with colleagues from ...

... data platforms. Key Skills the Manager, EDI & Platform Engineer will use on a regular basis ... from home. We offer an excellent benefit and compensation package, opportunity for career ...

... data platforms. Key Skills the Manager, EDI & Platform Engineer will use on a regular basis ... from home. We offer an excellent benefit and compensation package, opportunity for career ...

Leverage critical thinking, experimentation, data, end-user feedback and industry best practices to ... Contribute to platform engineering and software standards * Continuously develop self and support ...

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From Home Data Platform Engineer information

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

What cities in Wisconsin are hiring for From Home Data Platform Engineer jobs?

Cities in Wisconsin with the most From Home Data Platform Engineer job openings:

Platform Engineer (AI / Data Platform)

Remote

Contractor

Re-posted 17 days ago


Job description

Fur ein anspruchsvolles KI- und Datenplattform-Projekt im Enterprise-Umfeld wird ein erfahrener Platform Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen, skalierbaren On-Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten.

Rahmenbedingungen
Start: ASAP
Laufzeit: Ende 2026, Verlangerung moglich
Auslastung: 100 %
Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache

400 - 450 a day
Aufgaben
Aufbau, Konfiguration und Betrieb von On-Premise Kubernetes-Clustern, idealerweise mit OpenShift & OpenShift AI (RedHat, UBI)
Design und Umsetzung von Plattform-Architekturen fur Streaming- und Batch-Workloads
Einfuhrung und Betrieb des Tooling-Stacks:
Quay, Artifactory
Tekton, Jenkins
CI/CD- und GitOps-Prinzipien
Containerisierung von Plattform- und Applikationskomponenten
Implementierung von Monitoring- und Logging-Losungen (Grafana, Prometheus, Loki)
Umsetzung von Security- und Schwachstellenmanagement (Container, Python, IDEs)
Unterstutzung und Enablement von Data-Science- und Entwicklungsteams
Mitwirkung bei KI-Projekten (Plattformbereitstellung, Betrieb, Stabilisierung)
Berucksichtigung von Enterprise-, Kunden- und Compliance-Vorgaben (z. B. Policies, AI Act)

Anforderungen
Mehrjahrige Erfahrung als Platform Engineer, DevOps Engineer oder vergleichbare Rolle
Sehr gute Kenntnisse in Kubernetes / OpenShift, idealerweise OpenShift AI
Erfahrung mit CI/CD, GitOps und Container-Technologien
Architektur-Know-how fur skalierbare Data- und KI-Plattformen
Sehr gute Deutsch und Englischkenntnisse
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung. Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne uber Freelancermap per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!

Β +43 699 14402417
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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